Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
The Data Manager will perform manual reviews of AI-generated data to identify inaccuracies, inconsistencies, or biases. They will also correct and annotate data points while validating datasets against predefined quality criteria.
Job details
Role: Data Manager (Remote) Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Human Data Manager, New Grad to work on a full-time basis. The role involves ensuring the accuracy and integrity of data used in AI and machine learning models by performing quality checks, correcting errors, and validating outputs. You will collaborate with cross-functional teams to maintain high standards for datasets that power automated systems. Key Responsibilities: • Perform manual reviews of AI-generated data to identify inaccuracies, inconsistencies, or biases • Correct and annotate data points to improve model performance and reliability • Validate datasets against predefined quality criteria and business requirements • Document data issues and resolutions for future reference and team transparency • Communicate findings and recommendations to engineering and product teams Required Skills & Qualifications: • Bachelor’s degree in Computer Science, Data Science, or a related field • Familiarity with data annotation, labeling, or quality assurance processes • Experience with spreadsheets, databases, or data visualization tools • Strong attention to detail and ability to spot discrepancies in large datasets • Proficiency in written and verbal communication for reporting issues and solutions More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of trusted AI systems. The position supports long-term initiatives focused on responsible data practices and model accuracy. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!
What you’ll do
The Data Manager will perform manual reviews of AI-generated data to identify inaccuracies, inconsistencies, or biases. They will also correct and annotate data points while validating datasets against predefined quality criteria.
Requirements
Candidates must hold a Bachelor’s degree in Computer Science, Data Science, or a related field. Proficiency in data annotation, quality assurance processes, and experience with data tools are required.
Listed skills
- Quality assurance · Preferred
- Data Validation · Preferred
- Data visualization · Preferred
- Attention to detail · Preferred
- Communication · Preferred
- Reporting · Preferred
- Problem solving · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data annotation
- Data labeling
- Quality assurance
- Data integrity
- Data validation
- Spreadsheets
- Databases
- Data visualization
- Attention to detail
- Communication
- Reporting
- Problem solving
Job areas
- Data & Analytics
- Software
- Technology
- Engineering
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